Triple

T15095160
Position Surface form Disambiguated ID Type / Status
Subject Surat metropolitan region E360518 entity
Predicate hasSuburb P747 FINISHED
Object Udhna
Udhna is an industrial and residential suburb located within the city of Surat in the Indian state of Gujarat.
E1137567 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Udhna | Statement: [Surat metropolitan region, hasSuburb, Udhna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Udhna
Context triple: [Surat metropolitan region, hasSuburb, Udhna]
  • A. Wadhwan
    Wadhwan is a historic town in Gujarat, India, known for its royal heritage, old fortifications, and role as a former princely state center.
  • B. Kairana
    Kairana is a town and parliamentary constituency in the Shamli district of Uttar Pradesh, India, known for its agrarian population and political significance in north Indian politics.
  • C. Kawardha
    Kawardha is a regional dialect of the Chhattisgarhi language spoken in parts of the Indian state of Chhattisgarh.
  • D. Modasa
    Modasa is a town in the Indian state of Gujarat that serves as the administrative headquarters of Aravalli district.
  • E. Kharadi
    Kharadi is a rapidly developing suburb in Pune, India, known as a major IT and business hub with modern infrastructure and residential complexes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Udhna
Triple: [Surat metropolitan region, hasSuburb, Udhna]
Generated description
Udhna is an industrial and residential suburb located within the city of Surat in the Indian state of Gujarat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Udhna
Target entity description: Udhna is an industrial and residential suburb located within the city of Surat in the Indian state of Gujarat.
  • A. Wadhwan
    Wadhwan is a historic town in Gujarat, India, known for its royal heritage, old fortifications, and role as a former princely state center.
  • B. Kairana
    Kairana is a town and parliamentary constituency in the Shamli district of Uttar Pradesh, India, known for its agrarian population and political significance in north Indian politics.
  • C. Kawardha
    Kawardha is a regional dialect of the Chhattisgarhi language spoken in parts of the Indian state of Chhattisgarh.
  • D. Modasa
    Modasa is a town in the Indian state of Gujarat that serves as the administrative headquarters of Aravalli district.
  • E. Kharadi
    Kharadi is a rapidly developing suburb in Pune, India, known as a major IT and business hub with modern infrastructure and residential complexes.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0054571a48190a57055c0d6e90f82 completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae21134c81908939ad6ce46703d8 completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feb37427a881908cf95f60b06251d4 completed May 9, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69feb429517c8190a91cc6b50345d889 completed May 9, 2026, 4:12 a.m.
Created at: April 10, 2026, 3:04 a.m.